Persistence and stability of generalized ribosome flow models with time-varying transition rates

In this paper some important qualitative dynamical properties of generalized ribosome flow models are studied. Ribosome flow models known from the literature are generalized by allowing an arbitrary directed network structure between compartments, and by assuming general time-varying rate functions...

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Published inPloS one Vol. 18; no. 7; p. e0288148
Main Authors Vághy, Mihály A, Szederkényi, Gábor
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 07.07.2023
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Abstract In this paper some important qualitative dynamical properties of generalized ribosome flow models are studied. Ribosome flow models known from the literature are generalized by allowing an arbitrary directed network structure between compartments, and by assuming general time-varying rate functions corresponding to the transitions. Persistence of the dynamics is shown using the chemical reaction network (CRN) representation of the system where the state variables correspond to ribosome density and the amount of free space in the compartments. The L1 contractivity of solutions is also proved in the case of periodic reaction rates having the same period. Further we prove the stability of different compartmental structures including strongly connected ones with entropy-like logarithmic Lyapunov functions through embedding the model into a weakly reversible CRN with time-varying reaction rates in a reduced state space. Moreover, it is shown that different Lyapunov functions may be assigned to the same model depending on the non-unique factorization of the reaction rates. The results are illustrated through several examples with biological meaning including the classical ribosome flow model on a ring.
AbstractList In this paper some important qualitative dynamical properties of generalized ribosome flow models are studied. Ribosome flow models known from the literature are generalized by allowing an arbitrary directed network structure between compartments, and by assuming general time-varying rate functions corresponding to the transitions. Persistence of the dynamics is shown using the chemical reaction network (CRN) representation of the system where the state variables correspond to ribosome density and the amount of free space in the compartments. The L1 contractivity of solutions is also proved in the case of periodic reaction rates having the same period. Further we prove the stability of different compartmental structures including strongly connected ones with entropy-like logarithmic Lyapunov functions through embedding the model into a weakly reversible CRN with time-varying reaction rates in a reduced state space. Moreover, it is shown that different Lyapunov functions may be assigned to the same model depending on the non-unique factorization of the reaction rates. The results are illustrated through several examples with biological meaning including the classical ribosome flow model on a ring.
Audience Academic
Author Szederkényi, Gábor
Vághy, Mihály A
AuthorAffiliation 1 Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
Institute of Space Technology, PAKISTAN
2 Systems and Control Laboratory, Institute for Computer Science and Control (SZTAKI), Budapest, Hungary
AuthorAffiliation_xml – name: 1 Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
– name: 2 Systems and Control Laboratory, Institute for Computer Science and Control (SZTAKI), Budapest, Hungary
– name: Institute of Space Technology, PAKISTAN
Author_xml – sequence: 1
  givenname: Mihály A
  orcidid: 0000-0002-6280-2514
  surname: Vághy
  fullname: Vághy, Mihály A
  organization: Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/37418484$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1016_j_trc_2023_104435
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Copyright Copyright: © 2023 Vághy, Szederkényi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
COPYRIGHT 2023 Public Library of Science
2023 Vághy, Szederkényi. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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2023 Vághy, Szederkényi. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: 2023 Vághy, Szederkényi. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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License Copyright: © 2023 Vághy, Szederkényi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Competing Interests: The authors have declared that no competing interests exist.
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Snippet In this paper some important qualitative dynamical properties of generalized ribosome flow models are studied. Ribosome flow models known from the literature...
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StartPage e0288148
SubjectTerms Analysis
Biology and Life Sciences
Chemical reactions
Compartments
Computer and Information Sciences
Embedding
Entropy
Equilibrium
Flow stability
Health aspects
Kinetics
Liapunov functions
Messenger RNA
Modelling
Physical Sciences
Reaction Time
Ribosomes
Structural stability
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Title Persistence and stability of generalized ribosome flow models with time-varying transition rates
URI https://www.ncbi.nlm.nih.gov/pubmed/37418484
https://www.proquest.com/docview/2834455977
https://search.proquest.com/docview/2835270558
https://pubmed.ncbi.nlm.nih.gov/PMC10328332
https://doaj.org/article/2c857a0747af4d1c87b04131b2133f58
http://dx.doi.org/10.1371/journal.pone.0288148
Volume 18
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